Titlebook: Computer Security – ESORICS 2017; 22nd European Sympos Simon N. Foley,Dieter Gollmann,Einar Snekkenes Conference proceedings 2017 Springer

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Practical Keystroke Timing Attacks in Sandboxed JavaScript,e side channels to infer typed words, passphrases, or create user fingerprints. While keystroke timing attacks are considered harmful, they typically require native code execution to exploit the side channels and, thus, may not be practical in many scenarios..In this paper, we present the first gene

HUMID

On-Demand Time Blurring to Support Side-Channel Defense,aked to another, co-resident VM using timing side channels. Recent defenses against timing side channels focus on reducing the degree of resource sharing. However, such defenses necessarily limit the flexibility with which resources are shared. In this paper, we propose a technique that dynamically

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VuRLE: Automatic Vulnerability Detection and Repair by Learning from Examples,g unpatched vulnerabilities. Vulnerabilities often remain undetected for a long time as they may not affect typical systems’ functionalities. Furthermore, it is often difficult for a developer to fix a vulnerability correctly if he/she is not a security expert. To assist developers to deal with mult

Connotation

Link-Layer Device Type Classification on Encrypted Wireless Traffic with COTS Radios,raffic to detect device types in a targeted environment. We focus on 802.11 traffic using WPA2 as security protocol. Data is collected by passive eavesdropping using COTS radios. PrEDeC (a) extracts features using temporal properties, size of encrypted payload, type and direction of wireless traffic

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LeaPS: Learning-Based Proactive Security Auditing for Clouds,ed by the multi-tenancy and self-service nature, coupled with the sheer size of a cloud, imply that security auditing in the cloud can become quite expensive and non-scalable. Therefore, a proactive auditing approach, which starts the auditing ahead of critical events, has recently been proposed as

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Privacy Implications of Room Climate Data,ed that the sensed data may leak crucial personal information about the occupants, this belief has up until now not been supported by evidence..In this work, we investigate privacy risks arising from the collection of room climate measurements. We assume that an attacker has access to the most basic

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